Evidence map›Paper›PMID 41697400›Full record

ArticleUrolithiasis2026

The development and internal validation of a rating scale system in predicting renal stone bacteria culture positivity before PCNL: a cross-sectional study.

Peng Xu, Daqiang Wei, Yannan Su, Yuyan Zhang, Qiaozhen Zhang, Xiaomei Zeng, Jiayi Jian, Jian Weng, Xiaoyu Fan, Jiahui Li and 3 more

Abstract readValidation Study
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Article in Urolithiasis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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13 authors.

Peng Xu *Department of Urology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510260, Guangdong, China.
Daqiang Wei *Department of Urology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510260, Guangdong, China.
Yannan Su *The Second Clinical Medical School, Guangzhou Medical University, Guangzhou, 510260, Guangdong, China.
Yuyan ZhangDepartment of Pharmacy, Guangzhou Dermatology Hospital, Guangzhou, 510095, Guangdong, China.
Qiaozhen ZhangDepartment of Urology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510260, Guangdong, China.
Xiaomei ZengThe Second Clinical Medical School, Guangzhou Medical University, Guangzhou, 510260, Guangdong, China.
Jiayi JianThe Second Clinical Medical School, Guangzhou Medical University, Guangzhou, 510260, Guangdong, China.
Jian WengThe Second Clinical Medical School, Guangzhou Medical University, Guangzhou, 510260, Guangdong, China.
Xiaoyu FanThe Second Clinical Medical School, Guangzhou Medical University, Guangzhou, 510260, Guangdong, China.
Jiahui LiThe Second Clinical Medical School, Guangzhou Medical University, Guangzhou, 510260, Guangdong, China.
Bo ZhuDepartment of Urology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510260, Guangdong, China.
Guohua ZengGuangdong Provincial Key Laboratory of Urological Diseases, Guangzhou Medical University, Guangzhou, 510230, Guangdong, China. gzgyzgh@vip.tom.com.
Wenqi WuDepartment of Urology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510260, Guangdong, China. 2009681012@gzhmu.edu.cn.

Funding

Guangzhou fund for Basic and Applied Basic Research 202102020271Guangzhou fund for Basic and Applied Basic Research, China 202102020271Key Clinical Technique of Guangzhou, China 2024CL-ZD04National Natural Science Foundation of China 82270807National Natural Science Foundation of China,China 82070719Natural Science Foundation of Guangdong Province 2023A1515110951Student project of Guangzhou Medical University, China 02-408-2304-02118XM
6 · The paper itself

Abstract

Targeted preoperative antibiotic therapy can help reduce infections following percutaneous nephrolithotomy (PCNL), but it cannot eliminate them entirely, as kidney stones may serve as a reservoir for infection. Moreover, stone culture positivity (SC+) cannot be measured or treated preoperatively. If SC+ could be predicted before surgery, urologists would have an opportunity to optimize infection control of the individual patient’s risk by adjusting the duration of stone removal and managing intrarenal pressure. This was a cross-sectional study including consecutive patients with renal stones undergoing PCNL from January 2019 to August 2021. The primary outcome was SC+. Logistic regression was used to analyze independent risk factors for SC+ to develop the scale system. Internal validation of the SC+ rating scale system was conducted using bootstrapping techniques. The SC+ scale was further assessed in predicting postoperative systemic inflammatory response syndrome (SIRS) and sepsis. Totally, 1026 patients with a median age of 54 years undergoing PCNL were included. 343 (33.4%) patients were found of SC+ and 83 (8.1%) ones of postoperative sepsis. Independent risk factors for SC+ included positive preoperative urine culture (P < 0.001), higher preoperative urine white blood cell score (P < 0.001), positive preoperative urine nitrite (P < 0.001), and female gender (P < 0.001). Preoperative ipsilateral renal drainage was an independent protective factor (P = 0.028). These variables established an SC+ rating scale system with a robust prediction accuracy (absolute error 0.014), discrimination power (AUC 0.867) and wide net benefit range (0.070–0.920). Internal validation showed strong stability (C-index 95% CI: 0.842–0.893). Using specific cut-offs, the SC+ score effectively stratified postoperative patients into risk groups for SIRS (AUC = 0.755, OR = 0.872) and sepsis (AUC = 0.816, OR = 11.109). SC+ can be predicted by the rating scale system based on preoperative findings. An SC+ score of 11 or higher is associated with a significantly higher risk of postoperative sepsis which imply special attention and modified surgical technique.

Indexed as

Kidney CalculiNephrolithotomy, PercutaneousPostoperative ComplicationsSepsisAdultBacteriaCross-Sectional StudiesFemaleHumansMaleMiddle AgedPredictive Value of TestsRisk FactorsSystemic Inflammatory Response SyndromePostoperative infectious complicationsPreoperative findingsRating scale systemRenal stone culture positivity

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.